EnergyNet Platform Real-Time Data Analytics for Grid Settlements
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Solution Overview
Problem
Current electric power systems lack the necessary data analytics and real-time information for consumers and retail electric providers to make informed decisions about power supply and pricing, leading to suboptimal pricing and limited access to advanced energy settlements.
Innovation Solution
The development of systems and methods for data analytics and graphical user interfaces that provide consumers with real-time data on electric power usage, management, and financial settlements, integrated with a network of microgrids and cloud-based computing systems, enabling advanced energy settlements and optimal pricing through the EnergyNet platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time data analytics and messaging systems are implemented, then information availability for power consumption and production is improved, but system complexity and implementation costs increase
Solution Approach 1:
The system segments information delivery by creating distinct messaging layers: real-time market price signals, demand response notifications, and settlement data are separated into different communication channels. This allows consumers to receive only the specific types of information relevant to their needs without being overwhelmed by comprehensive data streams, reducing perceived system complexity while maintaining information availability.
Solution Approach 2:
An intermediary messaging system is introduced between the complex backend analytics infrastructure and end-users. This intermediary layer processes, filters, and translates raw data analytics into standardized, user-friendly messages that can be delivered through multiple channels (email, SMS, web portal), thereby preserving information availability while shielding users from underlying system complexity.
2Productivity
If advanced energy settlements with optimal pricing are implemented, then pricing efficiency is improved, but access requirements and implementation barriers increase
Solution Approach 1:
The system enables self-service enrollment where consumers can automatically opt into demand response programs and receive real-time pricing signals without manual intervention. The messaging system automatically enrolls eligible consumers based on their consumption patterns and preferences, eliminating complex application processes while maintaining pricing efficiency through automated market participation.
Solution Approach 2:
The messaging platform is designed with universal functionality that serves multiple purposes: it delivers real-time pricing signals for optimal pricing efficiency, provides demand response coordination, communicates settlement information, and offers consumer education resources. This multi-functional approach allows a single system to achieve pricing efficiency while reducing access barriers through a unified, versatile interface.
3Reliability
If real-time messaging and data analytics are deployed, then market participation quality is improved, but infrastructure costs and operational burden increase
Solution Approach 1:
The system implements periodic messaging cycles where real-time data analytics are aggregated and delivered at optimized intervals rather than continuously. Market price signals are updated at standard trading intervals, and settlement messages are batched periodically, reducing the operational burden of constant data transmission while maintaining market participation quality through timely, periodic information delivery.
Solution Approach 2:
The messaging system dynamically adjusts its operational parameters based on market conditions and consumer preferences. During periods of high volatility, real-time messaging frequency increases to maintain market participation quality. During stable periods, messaging frequency is reduced to lower operational costs. This parameter adjustment allows the system to maintain reliability while optimizing energy and resource consumption.
Data Source
AI summary
A multiplicity of participants comprising utility operators, distributed energy resource (DER) providers, vendors/aggregators, energy customers, and utility financial officers, are communicatively connected to a platform. The platform provides interactive interfaces for each type of participant to access the platform over communication network. Utility operators are enabled to view and control DER in a certain area via an interface for utility operators. DER providers are enabled to interconnect DER packages to a utility grid via an interface for DER providers. Vendors/aggregators are enabled to view and manage their portfolios via an interface for vendors/aggregators. Energy customers are enabled to view energy information, shop for new products or services, and manage rate plans via an interface for marketplace. Utility financial officers are enabled to view revenue streams from the platform to a utility via an interface for financial settlement.